Uber
Consumer · Rideshare
Consumer · Rideshare
Uber is actively hiring for 130 AI-related roles, with a significant focus on agents, which accounts for 40% of their open positions. Application roles also represent a substantial portion of their AI hiring at 29%. The majority of these roles are within Engineering, with the United States being the primary hiring country. Frequent technology tags include model serving, recommender systems, and agent orchestration, suggesting a direction towards deploying and managing AI systems.
Currently tracking 25 active AI roles, down 34% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$336k (avg $220k).
Uber currently has 36 active AI-related roles in our index. The most common open titles are: Engineering Manager II, AV Labs, Engineering Manager II, Evaluation & Simulation - AV Labs, Engineering Manager II, Ranking and Recommendations, Grocery and Retail, Enterprise Applications Developer, Group Product Manager, AV Labs. Most positions are in Engineering and Product.
Uber's active AI hiring is concentrated in: agents (50%), data (19%), evaluation (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Uber is hiring AI talent in: United States (33 roles), Netherlands (2 roles), India (1 role).
Job postings at Uber most frequently mention: Machine Learning, Autonomous Driving, Computer Vision, Robotics, LLM Evaluation & Grading.
In the past 30 days, Uber has posted 10 new AI-related roles. That is a -69% change versus the prior 30 days (32 → 10).
| Title | Stage | AI score |
|---|---|---|
| Staff Machine Learning Engineer - AV Labs Staff ML Engineer at Uber's AV Labs focused on Physical AI, developing advanced autonomy algorithms and models to add semantics to driving data. The role involves leading the technical roadmap for ML systems, designing large-scale ML systems, mentoring engineers, and evolving ML infrastructure for autonomous driving. | Data | 9 |
| Director, Engineering - AV Labs Director of Engineering role focused on leading the development of AI models, algorithms, and semantic engines for Uber's autonomous vehicle data capabilities. The role involves building advanced AI foundation models and scalable algorithms that process multi-modal sensor data to enrich L4 data and evaluation engines for autonomous driving. | DataAgent |
| 9 |
| Principal Machine Learning Engineer - AV Labs Principal ML Engineer for Uber's AV Labs, focusing on Physical AI. The role involves building advanced autonomy algorithms and models to add semantics to driving data, enabling better data mining, scene understanding, and causal modeling of vehicle behavior. The primary focus is on enriching L4 data for an evaluation engine, with a secondary focus on agentic systems. | DataAgent | 9 |
| Software Engineer II - AV Labs Software Engineer II for Uber's AV Labs, focusing on Physical AI to build autonomy algorithms for enriching autonomous driving data. Responsibilities include algorithm development for semantic meaning extraction, system design for onboard systems, and defining requirements for evaluation datasets. | DataAgent | 8 |
| Graduate 2026 PhD Software Engineer II (AV Labs), United States This role focuses on developing algorithms and foundation models for Physical AI in autonomous vehicles. The primary goal is to extract high-fidelity semantic meaning from complex urban edge cases to enrich L4 data lakes, optimize dataset quality for ML acceleration through advanced sensor data processing and auto-labeling, and implement scalable ML systems. The role involves collaboration with platform, product, and security engineering teams. | DataPost-train | 8 |
| Senior Software Engineer - AV Labs Senior Software Engineer for Uber's AV Labs, focusing on Physical AI to build autonomy algorithms that extract semantic meaning from driving data for L4 data lake enrichment. Responsibilities include algorithm development, systems architecture, technical leadership, and cross-functional collaboration with ML and platform teams. | DataAgent | 8 |
| Senior Machine Learning Engineer – AV Labs Senior ML Engineer at Uber's AV Labs focused on Physical AI, developing autonomy algorithms and models to add semantics to driving data, enrich L4 data lake, and optimize datasets for ML technologies in the autonomous driving domain. | DataAgent | 8 |
| Senior Software Engineer – AV Labs Senior Software Engineer for Uber's AV Labs, focusing on Physical AI to build autonomy algorithms for data mining, scene understanding, and causal modeling of ego vehicle behavior using real-world driving data. Requires C++ and Linux proficiency, with preferred experience in Autonomous Driving, safety-critical systems, and Python. | Data | 7 |
| Lead, Data Governance & AI Readiness Lead for Data Governance and AI Readiness on the Customer Support Data team at Uber. This role focuses on ensuring customer support data is reliable, consistent, trusted, and fit for purpose for both human decision-making and AI-driven use cases like analytics, copilots, and agentic AI. Responsibilities include establishing and enforcing data quality, observability, lineage, metadata, and semantic clarity standards, with a specific emphasis on preparing data for AI consumption (retrieval, summarization, recommendation, automation, training, evaluation). The role also involves driving adoption of governance standards and embedding shift-left governance principles. | DataAgent | 7 |
| Group Product Manager, AV Labs Group Product Manager for Uber's AV Labs, focusing on defining product strategy and roadmaps for technical domains including machine learning and data/validation platforms to accelerate the autonomous technology ecosystem. This role involves translating business goals into product direction, partnering with cross-functional teams, and influencing executive stakeholders. | DataPost-train | 7 |
| Sr Software Engineer - AV Data Quality, AV Labs This role focuses on building the data integrity layer for an L4 autonomous driving data platform, validating and safeguarding the quality of multi-modal sensor streams. It bridges raw robotics telemetry and downstream machine learning, ensuring systems learn from ground truth. | Data | 7 |
| Senior Software Engineer, (Backend) Uber AI Solutions Senior Software Engineer to lead platform architecture for Uber AI Solutions, focusing on building foundational data infrastructure for next-generation AI systems. The role involves designing and delivering scalable backend solutions that integrate human expertise with ML for producing high-quality, model-ready datasets for multimodal and real-world AI use cases. | Data | 7 |
| Senior Software Engineer, Uber AI Solutions Senior Software Engineer to lead platform architecture for Uber AI Solutions, focusing on building foundational model data infrastructure that integrates human expertise with ML to produce high-quality, model-ready datasets for multimodal and real-world AI use cases. | Data | 7 |
| Senior Program Manager, Tech - Uber AI Solutions Senior Program Manager for Uber AI Solutions, focusing on AI training and evaluations for robotics, computer vision, and related fields. The role involves client engagement, presales support, program delivery management, and driving innovation in AI training services. It requires experience in ML operations, data annotation, AI infrastructure, and client-facing service delivery. | DataEval Gate | 7 |
| Staff Machine Learning Engineer - Causal Inference Uber's Surge team is hiring a Staff ML Engineer focused on causal inference to build large-scale pricing optimization systems. The role involves training ML models with sparse data, designing experiments, and developing causal models for real-time marketplace conditions. This is a backend role with significant impact on rider experience and driver earnings. | Data | 7 |
| Senior Software Engineer (Backend) - Ai Platform Team This role is for a Senior Software Engineer on the Ai Platform Team, focusing on building and optimizing Uber's Cloud-Native Data Platform. The engineer will own critical systems like Distributed MySQL, Hudi-based Data Lakes, and storage layers, ensuring high availability and performance. A key responsibility involves designing high-performance data pipelines to support the intense IO demands of GPU-based model training for AI/ML teams. The role requires expertise in distributed systems, storage technologies, and high-performance coding. | Data | 5 |
| Engineering Manager II, AV Labs Engineering Manager II for Uber's AV Labs, focused on developing and implementing technology for self-driving stacks. The role involves defining roadmaps for long-tail AV semantics to generate high-quality real-world driving data, communicating with leadership, and hiring/managing a high-performing team. The core objective is to leverage Uber's data collection capabilities to advance autonomous technology. | Data | 5 |
| Staff Software Engineer - Maps Staff Software Engineer on the Places Data Team at Uber, focusing on building and maintaining large-scale data pipelines for geospatial data (POI, Addresses, Building Footprints). The role involves data conflation, inference, and applying ML for matching and summarization, with a strong emphasis on technical leadership and end-to-end ownership. | Data | 5 |
| Junior Data Scientist Junior Data Scientist role focusing on foundational data science principles including Machine Learning, Experimentation, Statistical Modeling, and Causal Inference. Responsibilities include data collection, cleaning, analysis, predictive modeling, and communicating findings. The role involves translating business questions into testable hypotheses and experimental designs, or mathematical models and ML algorithms, with an emphasis on iterative delivery and best practices in code and analysis. Projects may involve Market Expansion, Market Health, Audits, and Document Processing using NLP/OCR. | Data | 5 |
| Staff Software Engineer : Storage, Search, & Data Platforms Staff Engineer role focused on architecting and evolving Uber's data platforms to support a "Data-to-AI" future. This involves defining the technical vision for cloud-native data ecosystems, designing "Data-to-GPU" pipelines, and optimizing storage APIs for AI researchers. The role requires deep distributed systems expertise and leadership in open-source data technologies. | Data | 5 |
| Software Engineer Software Engineer at Uber responsible for designing and developing large-scale data systems, including databases, data warehouses, and big data platforms. The role involves building robust and scalable software solutions, designing and building scalable data pipelines for batch and real-time processing using tools like Apache Airflow, Spark, SQL, Kafka, and Flink. Key responsibilities include ensuring data quality, privacy, and compliance, championing data governance, driving automation, and collaborating with cross-functional teams. The role also requires staying updated on data engineering, Gen AI, and Cloud solutions to create innovative solutions and mentoring junior engineers. | Data | 5 |
| AV Labeling Program Manager II Program Manager for Uber's Physical AI team, focusing on managing human-in-the-loop (HITL) operations for ML/AI projects, specifically 2D/3D LiDAR annotations, object detection, and semantic segmentation. Responsibilities include designing data pipelines, managing global vendor operations, developing SOPs, and analyzing program metrics to drive decisions and improve processes from pilot to full-scale deployment. | Data | 5 |
| Senior Staff Engineer Senior Staff Engineer role focused on building the next generation of payment compliance infrastructure. The role involves leading architecture, strategy, and technical roadmap for platform components, including process workflow orchestrations and decisioning. A key aspect is researching and setting the roadmap for initiatives utilizing Machine Learning and AI for tasks like document processing, transcription, automated case adjudication, and matching. | Data | 5 |
| Software Engineer 2 Software Engineer 2 on the Global Intelligence Team at Uber, focusing on building scalable engineering solutions and platforms for data-driven decision making in Uber Rides and Eats. The role involves implementing and productionizing models, designing new systems for fast data-driven decisions, and building distributed backend systems for real-time analytics and ML features at Uber scale. Collaboration with science and product teams on technical roadmap and vision is key. | Data | 5 |
| Data Analyst, Measurement Science, Ads This role focuses on building automated data pipelines and analytics platforms for Uber Advertising, with a key responsibility to integrate GenAI for recommendations and insights. The primary focus is on data engineering and analytics automation. | Data | 5 |
| Staff Infrastructure Efficiency Analyst This role focuses on cloud cost optimization and financial accountability within Uber's cloud environments. The analyst will use data analysis, machine learning, and engineering expertise to identify and implement optimizations, improve forecasts, and drive efficient growth. Key responsibilities include analyzing cloud consumption data, tracking savings, defining performance metrics, managing reporting, and partnering with engineering teams on resource optimization and demand planning. | Data | 5 |
| Data Science II, InsurTech Data scientist role focused on InsurTech initiatives, applying data science and analytics to insurance, including crash reporting and claims handling. The role involves deep-dive analyses, experiment design, project leadership, and supporting the development of machine learning models to enhance platform safety. It requires collaboration with product management, safety operations, and engineering teams. | Data | 5 |
| Sr Staff Engineer Senior Staff Data Engineer to define and drive the architecture, scalability, and intelligence of Uber's delivery data systems, leveraging Generative AI (GenAI) and intelligent data systems for automation and insights. This role involves leading cross-organizational initiatives for data ingestion, modeling, security, and governance at a global scale, with a focus on data quality and performance. | Data | 5 |
| Engineering Manager II, Data, Hyderabad Engineering Manager for FinTech Data & ML Systems team, responsible for leading a team in designing, implementing, and scaling data and ML solutions, driving architecture of data pipelines and feature stores, and providing technical leadership in data architecture, ETL, model training, and productionization of ML workflows. | Data | 5 |